Predicting gene essentiality in Caenorhabditis elegans by feature engineering and machine-learning

Defining genes that are essential for life has major implications for understanding critical biological processes and mechanisms. Although essential genes have been identified and characterised experimentally using functional genomic tools, it is challenging to predict with confidence such genes fro...

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Detalles Bibliográficos
Autores principales: Campos, Tulio L., Korhonen, Pasi K., Sternberg, Paul W., Gasser, Robin B., Young, Neil D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251299/
https://www.ncbi.nlm.nih.gov/pubmed/32489524
http://dx.doi.org/10.1016/j.csbj.2020.05.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251299/
https://www.ncbi.nlm.nih.gov/pubmed/32489524
http://dx.doi.org/10.1016/j.csbj.2020.05.008

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